Analytics gets Agile


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This is the presentation I shared at the SAP Influencer Summit. The presentation discusses how we are seeing companies in APJ utilize our BI/Analytics solutions.

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  • With Analytics from SAP…we are delivering a Decision Management System to our customers.Decision Management Systems are agile – inform, align and adapt to changesSolutions that do not wait…they begin to ACTDIFFERENTIATIONMost complete suiteHANAIndustriesOUTCOMESInspired customerIncreased win ratesBigger deals
  • Customer data, social sentiment data, geospatial data, data from log files and machine data could in some cases not be overly useful or important to a business on its own but when combined with what we typically hold in our data warehouses today it can offer huge potential and drive many new opportunities. But if we leave it locked away its of no value… hence the term dark data…data that we don’t know what to do with.Today we see roughly 10% of people in an organization having access to analytics, that figure is predicted to rise to 75% by 2020. But what will they be doing? We need to make the use of analytics useful to them. Right now we run the risk of missing new singles because IT is not in a position to respond to its internal customers needs and innovate in the way it wants to, the result is the business wants to get involved and that creates shadow IT teams and perpetuates silos, which lead to more dark data. We’re not using all the data that is available to us, in part this is because the ability to manage and consume all data is getting harder, so naturally people try to solve the problem in front of them with just the data they own, but the other issue is that we are simply not using all the people we have to look at all the data we have. So we need to unlock that data, we need to connect it to our people, to the work they do and the business processes that run everyday. Moreover we need to move that data out of silos and as we connect it to our people, we need to connect our people to each other. Collaboration drives innovation. Very few innovations came from a single moment or single person having that eureka experience. If we can bring our data to our work and business processes, connect it to our people and to each other we can drive what we call collective insight. And that is really powerful.
  • Introduce the concept of the Network of Truth:-- networks – telephone networks, transport networks, supply chain networks, social networks, IT infrastructure networks, data networks – always expand based on next use expediency. Its how we surf the ‘net: we start with a site or a search, we click a link, and in a few steps we followed an idiosyncratic path based on our interest and need in the moment. We click a news page, click through to a sports result, click on an ad, bounce through to a retailer’s microsite, and then google a map to their nearest store. The routing of the data traffic to our device is also organic, based on network availability and can be traced through network, router and log file. The ‘in the moment’ data consumption tells us lots of things: which sites are good for advertisers, behaviour profiling of click throughs, what abandonment rates are caused by traffic or application delays, where potential customers are located. Analytics turns the traffic into actionable insight.-- We call this the Network of Truth: users of many types – and for many purposes – consuming and contributing to your data. Your ability to surface the right information at the right time to meet this purpose critically influences your ability to have them contribute to your network: either through transaction data, reports which can be shared with others, or activity information that can help you learn the ‘wisdom of the crowd’.-- For a long time in the BI market we’ve been focussed on a ‘single version of the truth’, focussed on a central management of data quality, ETL processes and information control. The Network of Truth moves on from this view to a vision of information being used and contributed to organically, iteratively and with localized meaning.
  • The science of data – or very high level of statistical methodology is valuable, but the value is not methodology; the value is judged by the extent that the analysis contributes to the business. That’s why my data scientists are called ‘Forward Analysts’; they’re not in the back room, they’re in the field finding opportunities to add value through analysis Dr Kaoru Kawamoto
  • Getting business adoption of BI really comes down to providing tools that are intuitive, provide insight to key business drivers using guided analytics design. At Kimberly Clark we’ve put a lot of effort into visualization and guided analytics design, and the rewards have been great. The users love reports that are highly summarized, alerts that take you from what’s happening to where its happening, and with tools like explorer to ask, what else is happening – the self service data exploration and then tell a story with that exploration – these are compelling techniques that drive adoptionLestor Meadows, Manager Business Intelligence Kimberly-Clark Asia Pacific
  • original strategy was a centralised model, to bring one version of the truth to the companyagile platformpredictive mobilefrom analysts using reports to everyone using reportslots of BI platforms security, cost, misinterpretation of datamimic the business adoption but added governance on topNeeded to get BI close to the businessImproved 'time to information'One aspect that caught our attention would be the unexpected role that mobile devices here. This is not in the area that you would expect though, such as in mobile productivity."Today we're using analytics on the shop floor with iPads," says Fredrik Ohlsson, technical programme manager of business intelligence at Tetra Pak South East Asia. "It is very easy to consume data on a mobile device," he explained, though he did concede that the laptop and desktop is good when it comes to producing data.To illustrate how things have changed, Ohlsson contrasted the current reality with just a few years ago, when analytics was essentially the domain of geeks.One item that kept entering the conversation was the use of iOS devices for consuming the business intelligence. This could be due to the sheer prevalence of the iPad in the region, though support for Android devices is apparently currently in the works – at Tetra Pak at least.
  • Based on the Global Trends and our current state, we have identified 5 strategic areas of focus that you will see drive our investments in both the solutions in market today and are our ongoing emphasis.First, we are focusing significant resources on ensuring the BI Platform and our core clients and solutions remain the best and most complete BI solution. This includes a substantial ongoing investment in enabling all current customers successful using our latest solutions.Secondly, we believe enabling the creativity of our solutions in all aspects is most important to our customers and to our ongoing ability to innovate. This includes improving installation, deployment, design, and consumption – a self-service theme that you will see throughout the remaining roadmapThe remaining strategic focus areas correlate directly with the previous slide – (1) Mobile, which we see as core to our success moving forward, (2) what we are calling Extreme Analytics which includes the areas of Big Data, integration in real-time with not only our ERP solutions, but any real-time source and Predictive capabilities that can be incorporated through the information life cycle and lastly (3) Social which incorporates collaboration, leveraging context and incorporating the network at optimal points throughout the information life cycle
  • The power of collective insight can be articulated with three core characteristics. The ability to engage. The ability to visualize. And the ability to Predict. We’ll describe these in more detail shortly but if you can drive collective insight in your organization built around these three concepts then the possibilities are endless.For example:Imagine if you could predict demand or supply across your entire supply chain immediately… What benefits would that bring you?What about providing exactly the right offers and services to every customer as they needed them? Would that help you serve them better?How about being able to understand what your customers and potential customers are saying about you right now…How could you use that information?Or finally, would you like the ability to predict market trends and customer need and use this to innovation and bring new products and services to market quicker?This is the opportunity that right now, by not enabling collective insight we are missing out on.At SAP we follow a concept of design thinking which is generally considered to be the ability to combine empathy for the context of a problem, creativity in the generation of insights and solutions, and rationality to analyze and fit solutions to the context. Design thinking can help you identify your possibilities and we’ll come back to this at the end of the presentation.In the meantime lets look at each area in turn, example the benefits of each and how our customers are already benefiting from it.
  • Businesses around the world drive positive change with analytics. The question at the forefront of everyone’s mind is: how would you change things for the better if you had greater insight from your data? Would you improve safety at work? Give your customers better service? Reward the best employees? Or do something more inventive?Well, now is your chance to tell us and put your vision into action.
  • Analytics gets Agile

    1. 1. Analytics Gets Agile Empowering and enabling consumers – their way Kurt Bilafer, Regional Vice President – Analytics, SAP Asia-Pacific Japan SAP Influencer Summit, October 17 2013
    2. 2. Unlocking the value of “Dark Data” 10% Responsive 75% Accessible Engaging Use Analytics Today Need Analytics by 2020 +1 Billion People +15 Billion Devices © 2011 SAP AG. All rights reserved. 2
    3. 3. Analytics Consumers have transformed IT Lead & Controlled Driven for and by the Business Customer’s Customer IT Institutionalized and Standardized
    4. 4. “The key is changing from an internal to a customer focus: move beyond measuring ourselves only against internal metrics …. start measuring ourselves against customer-focused metrics” Xiaoyu Liu Vice President & GM of Global Applications Development Lenovo Group “Analytics needs to move from the periphery of operations to the center of how business gets done.“ Bob McDonald CEO Procter & Gamble
    5. 5. Consumers and contributors in the Network of Truth Proving actionable, relevant insights the enable consumers to take action – in the moment © 2011 SAP AG. All rights reserved. 5
    6. 6. Networks Growth is Organic, Iterative, Localized Network of Truth
    7. 7. ⌘ Creates and capture new data ⌘ Consumers are getting targeted promotions ⌘ Brands & Retailers are improving customer intimacy and gaining competitive benchmarks In 2016, an estimated $689 Billion will be influenced by Mobile Retail Deloitte Digital The Dawn of Mobile Influence
    8. 8. “NBA fans’ passion for our game is amplified by deep game data and player statistics. SAP has created the definitive tool on for accessing our rich history and up-to-the-minute game results.” Adam Silver Incoming Commissioner and Former COO NBA
    9. 9. Powered by SAP Social Media Analytics by Netbase. Conversations shown reflect three months’ data on a daily rolling basis aggregated from social channels
    10. 10. Business Users in the Network of Truth “The science of data – or very high level of statistical methodology is valuable, but the value is not methodology; the value is judged by the extent that the analysis contributes to the business. That‟s why my data scientists are called „Forward Analysts‟; they‟re not in the back room, they‟re in the field finding opportunities to add value through analysis.” Dr Kaoru Kawamoto Head of Analytics Center of Excellence Osaka Gas © 2011 SAP AG. All rights reserved. 10
    11. 11. Business Users in the Network of Truth “At Kimberly Clark we‟ve put a lot of effort into visualization and guided analytics design, and the rewards have been great. The users love reports that are highly summarized, alerts that take you from what‟s happening to where its happening, and with tools like Explorer to ask what else is happening.” Lestor Meadows Manager Business Intelligence Kimberly-Clark Asia Pacific
    12. 12. Business Users in the Network of Truth Start-up incubator Pollenizer and the Sydney Coca-Cola Accelerator program have announced Firehose, a start-up competition where developers, designers and entrepreneurs will be equipped for three years of Coca-Cola supply chain data and given free rein to create solutions. Driven by Supply Chain Team
    13. 13. IT in the Network of Truth Our strategy for years was a centralized model, to bring one version of the truth to the company. But it wasn‟t agile enough; BI was too far away from the action. Multiple BI platforms were being implemented and we didn‟t have the governance, security or cost line that we wanted. Data was also being misinterpreted. We modernized to an agile platform, with predictive and mobile capability, and now we can give the business the „time to information‟ they want and we have the governance we need. Fredrik Ohlsson Technical Programme Manager of business intelligence Tetra Pak Asia © 2011 SAP AG. All rights reserved. 13
    14. 14. IT in the Network of Truth Paint-maker DuluxGroup estimates it has saved $600,000 over five years and clocked up a return on investment of 207% after upgrading and augmenting its business intelligence system.
    15. 15. Mixing Customers & Business in the Network of Truth Combine wholesale network invoice data and social media outreach to predict and manage consumer demand. “We can now analyze sales performance across all sectors in real time, and better respond to fluctuating demand.” Manish Choksi CIO Asian Paints
    16. 16. SAP’s Strategic Focus on Business Intelligence Core Self-service Core for innovation Use by IT and departments Complete BI suite Fast time to value Continued leadership Connection to the enterprise Extreme Mobile Big data First experience for BI Real time Content to point of Predictive impact Expansion to untapped users Social Ability to capture the decision Information in context Ability to leverage the network One Strategy for Enterprise BI © 2011 SAP AG. All rights reserved. 16
    17. 17. SAP Analytics by the Numbers +26K @SAPAnalytics Followers +25M Impressions for SAP Analytics +1.9M views on SAP Analytics YouTube +850K MOBI Downloads +1.5K DataGeek Challenge Participants +30K SAP Lumira downloads +140 Supported Data Sources ~30% of our APJ BOBJ customers on 4.x Analytics + Conversion runrate of 3.5% – 5% Investing in closing the skills gap… – no cost training on HANA, Mobility & Analytics – providing how to videos
    18. 18. Businesses around the world drive positive change with analytics. How would YOU change things for the better if you had greater insight from your data?
    20. 20. Kurt J. Bilafer Twitter: @Bilafer Join in the Conversation #SAPAPJ